Living systematic reviews (LSRs) are a powerful tool for keeping up with the ever-evolving landscape of research. Unlike traditional systematic reviews, LSRs are continuously updated to incorporate new evidence, ensuring that healthcare professionals and policymakers have access to the most accurate and current information.
But how frequently should LSRs be updated to achieve this goal? Balancing the need for timely insights with the intensive workload of continuous monitoring is a critical challenge. Let's explore the most effective methods for optimizing update frequency in LSRs.
While these methods enhance the efficiency and accuracy of LSR updates, challenges remain. For instance, the integration of machine learning and automation requires significant initial investment and expertise. Additionally, the balance between comprehensive searches and manageable workloads is an ongoing challenge. Despite these hurdles, the continuous evolution of technological tools and open science practices holds promise for further optimizing LSR update processes.